In this paper, we present a simple empirical model that examines the impact of various technologies of the mobile industry and its investments on the quality and pricing decisions made by industry and on the economic performance of these industries. The research is aimed at identifying the trends that govern the mobile and wireless technologies of today. These trends will help us not only understand the direction that these technologies will take in the future but will help us relate their impact on the business scenarios of project planning and management. This model will help customers to buy a new mobile according to their specifications, help the industries to launch new mobiles to meet customer requirements with their available technologies, budget, resources and qualification of the staff. The objective of this research paper is to improve decision making, increase the revenue and improve the GDP1 of the country.
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Neural network based empirical model development for mobile industry
Semantic Scholar · Business · 2011
Abstract
In this paper, we present a simple empirical model that examines the impact of various technologies of the mobile industry and its investments on the quality and pricing decisions made by industry and on the economic performance of these industries. The research is aimed at identifying the trends that govern the mobile and wireless technologies of today. These trends will help us not only understand the direction that these technologies will take in the future but will help us relate their impact on the business scenarios of project planning and management. This model will help customers to buy a new mobile according to their specifications, help the industries to launch new mobiles to meet customer requirements with their available technologies, budget, resources and qualification of the staff. The objective of this research paper is to improve decision making, increase the revenue and improve the GDP1 of the country.